IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v254y2025ipas0951832024006823.html
   My bibliography  Save this article

Preventive maintenance strategy for multi-component systems in dynamic risk assessment

Author

Listed:
  • Zhang, Chengjie
  • Fang, Zhigeng
  • Dong, Wenjie

Abstract

As the system operates, the system risk level will also dynamically change. In this paper, a dynamic risk assessment of the system is carried out by considering the system reliability and system risk losses, both of which vary over time. Then, based on the system risk level, different maintenance measures are applied to the components that have reached the preventive maintenance thresholds, including medium repair, major repair, and replacement. If the system risk is relatively light, low-cost medium repair will be adopted to save maintenance resources. Thus, a novel maintenance optimization strategy for multi-component systems considering the system risk level and aiming to minimize maintenance costs is proposed. Finally, the feasibility and effectiveness of the model are verified through a numerical case of the air conditioning temperature regulation subsystem.

Suggested Citation

  • Zhang, Chengjie & Fang, Zhigeng & Dong, Wenjie, 2025. "Preventive maintenance strategy for multi-component systems in dynamic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
  • Handle: RePEc:eee:reensy:v:254:y:2025:i:pa:s0951832024006823
    DOI: 10.1016/j.ress.2024.110611
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024006823
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2024.110611?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ronald Martinod & Olivier Bistorin & Leonel Castañeda & Nidhal Rezg, 2018. "Maintenance policy optimisation for multi-component systems considering degradation of components and imperfect maintenance actions," Post-Print hal-01922272, HAL.
    2. Yang, Xiuzhen & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Dai, Wei, 2024. "Mission reliability-centered opportunistic maintenance approach for multistate manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Shakiba Bazeli & Mohammad Saber Fallahnezhad & Ahmad Sadegheih & Hasan Hosseini Nasab, 2022. "Clustering condition-based maintenance for manufacturing systems with both perfect and imperfect maintenance actions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(17), pages 6109-6126, September.
    4. Zhang, Lin & Chen, Xiaohui & Khatab, Abdelhakim & An, Youjun, 2022. "Optimizing imperfect preventive maintenance in multi-component repairable systems under s-dependent competing risks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    5. Zhang, Chengjie & Qi, Faqun & Zhang, Ning & Li, Yong & Huang, Hongzhong, 2022. "Maintenance policy optimization for multi-component systems considering dynamic importance of components," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    6. Dui, Hongyan & Wang, Jiafeng & Zhu, Tianmeng & Xing, Liudong, 2024. "Maintenance optimization methodology of edge cloud collaborative systems based on a gateway cost index in IIoT," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    7. Liao, Ruoyu & He, Yihai & Feng, Tianyu & Yang, Xiuzhen & Dai, Wei & Zhang, Weifang, 2023. "Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    8. Qi, Faqun & Huang, Meiqi, 2024. "Joint optimization of maintenance and spares inventory policy for a series-parallel system considering dependent failure processes," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    9. Qi, Faqun & Yang, Huaqing & Wei, Lai & Shu, Xinting, 2024. "Preventive maintenance policy optimization for a weighted k-out-of-n: G system using the survival signature," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    10. Dui, Hongyan & Wei, Xuan & Xing, Liudong, 2023. "A new multi-criteria importance measure and its applications to risk reduction and safety enhancement," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    11. Do, Phuc & Voisin, Alexandre & Levrat, Eric & Iung, Benoit, 2015. "A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 22-32.
    12. Dui, Hongyan & Wang, Xinyue & Dong, Xinghui & Zhu, Tianmeng & Zhai, Yunkai, 2024. "Reliability model and emergency maintenance strategies for smart home systems," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    13. Zhang, Ning & Qi, Faqun & Zhang, Chengjie & Zhou, Hongming, 2022. "Joint optimization of condition-based maintenance policy and buffer capacity for a two-unit series system," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    14. Wang, Yukun & Li, Xiaopeng & Chen, Junyan & Liu, Yiliu, 2022. "A condition-based maintenance policy for multi-component systems subject to stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    15. Ait Mokhtar, El Hassene & Laggoune, Radouane & Chateauneuf, Alaa, 2023. "Imperfect maintenance modeling and assessment of repairable multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    16. Alsulieman, Abdullah & Ge, Xihe & Zeng, Zhiguo & Butenko, Sergiy & Khan, Faisal & El-Halwagi, Mahmoud, 2024. "Dynamic risk analysis of evolving scenarios in oil and gas separator," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    17. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    18. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ju-Woong Yun & So-Won Choi & Eul-Bum Lee, 2025. "Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders," Energies, MDPI, vol. 18(9), pages 1-40, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Wenyu & Zhang, Xiaohong & He, Shuguang & Zhao, Xing & He, Zhen, 2024. "Optimal condition-based maintenance policy for multi-component repairable systems with economic dependence in a finite-horizon," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    2. Zhang, Chao & Zeng, Qi & Dui, Hongyan & Chen, Rentong & Wang, Shaoping, 2025. "Reliability model and maintenance cost optimization of wind-photovoltaic hybrid power systems," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
    3. Azizi, Fariba & Salari, Nooshin, 2023. "A novel condition-based maintenance framework for parallel manufacturing systems based on bivariate birth/birth–death processes," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    4. Rasay, Hasan & Taghipour, Sharareh & Sharifi, Mani, 2022. "An integrated Maintenance and Statistical Process Control Model for a Deteriorating Production Process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    5. He, Zhichao & Wang, Yanhui & Sun, Wanhua & Hao, Yucheng & Xia, Weifu, 2025. "A proactive opportunistic maintenance decision model based on reliability in train systems," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
    6. Leppinen, Jussi & Punkka, Antti & Ekholm, Tommi & Salo, Ahti, 2025. "An optimization model for determining cost-efficient maintenance policies for multi-component systems with economic and structural dependencies," Omega, Elsevier, vol. 130(C).
    7. Zhang, Yanping & Cai, Baoping & Ahmed, Salim & Wang, Chengyushu & Li, Qingping & Gao, Lei, 2025. "A resilience-driven emergency maintenance operation scheme optimization method based on risk," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
    8. Vanderschueren, Toon & Boute, Robert & Verdonck, Tim & Baesens, Bart & Verbeke, Wouter, 2023. "Optimizing the preventive maintenance frequency with causal machine learning," International Journal of Production Economics, Elsevier, vol. 258(C).
    9. Boujarif, Abdelhamid & Coit, David W. & Jouini, Oualid & Zeng, Zhiguo & Heidsieck, Robert, 2025. "Repairing smarter: Opportunistic maintenance for a closed-loop supply chain with spare parts dependency," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
    10. Tang, Huakang & Wang, Honglei & Li, Chengjiang, 2025. "Time-varying cost modeling and maintenance strategy optimization of plateau wind turbines considering degradation states," Applied Energy, Elsevier, vol. 377(PA).
    11. Zheng, Meimei & Su, Zhiyun & Wang, Dong & Pan, Ershun, 2024. "Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    12. Dui, Hongyan & Zhang, Yulu & Bai, Guanghan, 2024. "Analysis of variable system cost and maintenance strategy in life cycle considering different failure modes," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    13. Li, Meiyan & Wu, Bei, 2024. "Optimal condition-based opportunistic maintenance policy for two-component systems considering common cause failure," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    14. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    15. Hongyan Dui & Yulu Zhang & Yun-An Zhang, 2023. "Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost," Mathematics, MDPI, vol. 11(8), pages 1-20, April.
    16. Truong-Ba, Huy & Cholette, Michael E. & Borghesani, Pietro & Ma, Lin & Kent, Geoff, 2021. "Condition-based inspection policies for boiler heat exchangers," European Journal of Operational Research, Elsevier, vol. 291(1), pages 232-243.
    17. Yang, Li & Zhou, Shihan & Ma, Xiaobing & Chen, Yi & Jia, Heping & Dai, Wei, 2024. "Group machinery intelligent maintenance: Adaptive health prediction and global dynamic maintenance decision-making," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
    18. Wei, Shuaichong & Nourelfath, Mustapha & Nahas, Nabil, 2023. "Analysis of a production line subject to degradation and preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    19. Huynh, K.T. & Vu, H.C. & Nguyen, T.D. & Ho, A.C., 2022. "A predictive maintenance model for k-out-of-n:F continuously deteriorating systems subject to stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    20. Shi, Guannan & Zhang, Xiaohong & Zeng, Jianchao & Liao, Haitao & Shi, Hui & Niu, Huifang & Wang, Jinhe, 2024. "A chance-constrained net revenue model for online dynamic predictive maintenance decision-making," Reliability Engineering and System Safety, Elsevier, vol. 249(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:254:y:2025:i:pa:s0951832024006823. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.